Detecting prompt injection early in an AI agent rollout is crucial and involves a multi-layered approach. Initially, rigorous pre-deployment testing with a diverse range of adversarial prompts, including various prompt injection techniques like role-play or instruction overriding, helps identify vulnerabilities before public release. During rollout, continuous monitoring of user inputs and agent outputs for unusual patterns or attempts to manipulate instructions is paramount. Implementing input sanitization and validation can proactively filter out known malicious patterns or excessive length. Another effective strategy is using sentinel prompts or guardrails within the system to detect and flag when core instructions are being circumvented. Furthermore, anomaly detection on API calls and user interactions can highlight suspicious activity, indicating potential injection attempts before they cause significant harm, ensuring robust agent behavior. More details: https://pnevmach.ru/bitrix/redirect.php?goto=https://infoguide.com.ua